The Square-Root Unscented and the Square-Root Cubature Kalman Filters on Manifolds [PDF]
SensorsEstimating the state of a system by fusing sensor data is a major prerequisite in many applications. When the state is time-variant, derivatives of the Kalman filter are a popular choice for solving that task.
Joachim Clemens, Constantin Wellhausen
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Using Constrained Square-Root Cubature Kalman Filter for Quantifying the Severity of Epileptic Activities in Mice [PDF]
Biomedicines, 2022 (1) Background: Quantification of severity of epileptic activities, especially during electrical stimulation, is an unmet need for seizure control and evaluation of therapeutic efficacy.
Chih-Hsu Huang +3 more
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Maximum correentropy-based robust Square-root Cubature Kalman Filter for vehicular cooperative navigation [PDF]
Scientific Reports, 2023 As the core method of cooperative navigation, relative positioning plays a key role in realizing intelligent vehicle driving and vehicle self-assembling network collaboration algorithms.
Wei Sun +4 more
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Maximum Correntropy Square-Root Cubature Kalman Filter for Non-Gaussian Measurement Noise [PDF]
IEEE Access, 2020 Cubature Kalman filter (CKF) is widely used for non-linear state estimation under Gaussian noise. However, the estimation performance may degrade greatly in presence of heavy-tailed measurement noise.
Jingjing He +3 more
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Input Forces Estimation for Nonlinear Systems by Applying a Square-Root Cubature Kalman Filter [PDF]
Materials, 2017 This work presents a novel inverse algorithm to estimate time-varying input forces in nonlinear beam systems. With the system parameters determined, the input forces can be estimated in real-time from dynamic responses, which can be used for structural health monitoring.
Yuexin Zhang
exaly +5 more sources
Motion State Estimation of Target Vehicle under Unknown Time-Varying Noises Based on Improved Square-Root Cubature Kalman Filter [PDF]
Sensors, 2020 In the advanced driver assistance system (ADAS), millimeter-wave radar is an important sensor to estimate the motion state of the target-vehicle. In this paper, the estimation of target-vehicle motion state includes two parts: the tracking of the target ...
Shiping Song, Jian Wu
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Seamless MEMS-INS/Geomagnetic Navigation System Based on Deep-Learning Strong Tracking Square-Root Cubature Kalman Filter [PDF]
Micromachines, 2023 To suppress inertial navigation system drift and improve the seamless navigation capability of microelectromechanical system-inertial navigation systems/geomagnetic navigation systems (MEMS-INS/MNS) in geomagnetically unlocked environments, this paper ...
Tianshang Zhao +2 more
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A Robust Hierarchical Estimation Scheme for Vehicle State Based on Maximum Correntropy Square-Root Cubature Kalman Filter [PDF]
Entropy, 2023 Accurate acquisition of vehicle dynamics state information is essential for vehicle active safety control systems. However, these states cannot be easily measured, and the measurement is expensive.
Dengliang Qi +4 more
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Adaptively Robust Square-Root Cubature Kalman Filter Based on Amending [PDF]
IEEE Access, 2021 To solve the problem of decreased filtering accuracy and even filter divergence for the case that the model errors and measurement outliers exist simultaneously, an adaptively robust square-root cubature Kalman filter (SRCKF) based on amending is ...
Chunhui Li +3 more
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High Dynamic Weak Signal Tracking Algorithm of a Beidou Vector Receiver Based on an Adaptive Square Root Cubature Kalman Filter [PDF]
Sensors, 2021 Compared with a scalar tracking receiver, the Beidou vector tracking receiver has the advantages of smaller tracking errors, fast loss-of-lock reacquisition, and high stability.
Na Li, Shufang Zhang, Yi Jiang
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